Researchers classify 3D self-shrinkers in 4D space.
problem Classifying complete 3D self-shrinkers with specific properties in Euclidean space.
method Completely classified 3-dimensional complete self-shrinkers with constant norm of the second fundamental form and constant f3 in R4. result A complete classification of 3D self-shrinkers in Euclidean space R4. Virtual reality explores non-Euclidean Sol geometry.
problem Exploring non-Euclidean geometries in virtual reality.
method Developed a VR software for Sol geometry.
result Demonstrated the feasibility of non-Euclidean geometry in VR.
Study of minimal surfaces in 3D space with special connections.
problem Classification of minimal translation surfaces in Euclidean spaces with semi-symmetric connections.
method Analysis of singular minimal translation surfaces in a 3D Euclidean space with a semi-symmetric connection.
result Classification of singular minimal translation surfaces in Euclidean spaces with semi-symmetric connections.
Solves four problems related to sphere families in 3D space.
problem Four basic problems of sphere families in Euclidean 3-space.
method Solves all four basic problems of sphere families in Euclidean 3-space.
result All four basic problems are solved.
Study on Mannheim curves in 3D space with modified frame.
problem Characterizing Mannheim curves in modified orthogonal frames.
method Investigation of Mannheim pairs, Frenet-Mannheim, and Weakened Mannheim curves.
result Characterizations of Mannheim curves in modified frames.
The paper classifies 2D complete λ-surfaces in 3D space.
problem Classifying complete λ-surfaces in R3. method Complete classification of 2D complete λ-surfaces with constant squared norm of the second fundamental form. result A complete classification for 2-dimensional complete λ-surfaces in Euclidean space R3 with constant squared norm of the second fundamental form. Study of loxodromes on twisted surfaces in 3D space.
problem Characterizing loxodromes on surfaces with varying curvature.
method Analysis of loxodromes on twisted surfaces in Euclidean 3-space.
result Construction of examples to visualize loxodromes on twisted surfaces.
Proper branched coverings are homeomorphisms on 3D balls or when branch set is empty.
problem Global injectivity of proper branched coverings on Euclidean balls.
method Analyzing the global injectivity of proper branched coverings defined on the Euclidean n-ball. result Proper branched coverings are homeomorphisms on 3D balls or when branch set is empty.
The paper investigates polyharmonic helices in 3D solvable Lie group Sol_3 and Euclidean spheres.
problem Existence and classification of polyharmonic helices of order r.
method Analytical and geometric approaches, including Lie group theory and Euclidean sphere analysis.
result Complete classification of proper r-harmonic helices in Sol_3 and new examples in Bianchi-Cartan-Vranceanu spaces.
Study on Gauss map surfaces in 3D space, focusing on anchor rings.
problem Classifying finite type Gauss map surfaces in Euclidean 3-space.
method Investigating a subclass of tubes, anchor rings, and analyzing their Gauss map properties.
result Anchor rings are of infinite type Gauss map.
Study of combinatorial Yamabe flows in 3D spaces.
problem Existence and uniqueness of flows on triangulations.
method Short-time and long-time existence proofs for flows on triangulations and extended flows.
result Established existence and uniqueness of flows under specific conditions.
Study classifies 3D self-shrinkers with constant second form norm.
problem Classifying self-shrinkers with specific geometric properties.
method Analyzes 3D self-shrinkers in Euclidean space with constant second form norm.
result Classifies complete self-shrinkers with constant norm of the second fundamental form.
Standard contact structure proven for line fibration in 3D space.
problem Proving standard contact structure for line fibration in 3D.
method Using work by and answering a question by Michael Harrison.
result Contact structure is diffeomorphic to the standard contact structure.
Paper constructs an infinite 3-7 surface in 3D space.
problem Can an infinite 3-7 surface be embedded in Euclidean space?
method Constructs an immersed, but not embedded, infinite 3-7 surface in R^3.
result Realizes an infinite 3-7 surface as a cover of Klein's quartic.
Equivariant diffusion model generates 3D molecules efficiently.
problem Generating high-quality 3D molecules efficiently.
method Equivariant Diffusion Model (EDM) that operates on atom coordinates and types.
result Significantly outperforms previous methods in molecule quality and training efficiency.
Geometric GNNs model 3D atomic systems with rotations and translations.
problem Modeling 3D atomic systems with geometric graphs and machine learning.
method Invariant, equivariant, and unconstrained GNN architectures.
result Geometric GNNs leverage physical symmetries and chemical properties.
New method classifies HCMU surfaces in 3D space forms as Weingarten surfaces.
problem Classifying HCMU surfaces in 3D space forms as Weingarten surfaces.
method Totally different method from previous work.
result Criteria for Weingarten surfaces that are also HCMU surfaces.
The Enneper surface and helix surfaces are unique in their geometric properties.
problem Characterizing surfaces with specific geometric properties.
method Analyzing isogonal lines and pseudo-geodesic lines in 3D Euclidean space.
result Helix surfaces and Enneper surface are the only surfaces with isogonal lines as generalized helices and pseudo-geodesic lines.
It is shown that 3D part of a spherically symmetric solution in conformal Weyl gravity interacting with Maxwell electrodynamics is a Yamabe flow as well. The Yamabe flow describes the transition from a horn of an initial wormhole to a 3D Euclidean space both filled with a radial electric field. It is supposed that such…
3D Steerable CNNs learn equivariant features for 3D data.
problem Learning rotationally equivariant features in volumetric data.
method SE(3)-equivariant convolutions using steerable kernel basis.
result 3D Steerable CNNs are effective for protein structure classification and amino acid propensity prediction.
EuLearn creates diverse 3D topological datasets for machine learning.
problem Training machine learning systems to discern topological features.
method Developed novel sampling and neural network architectures for graph and manifold data.
result Incorporating topological information improves deep learning performance on EuLearn datasets.
3D filament plots visualize curves in datasets, avoiding visual clutter.
problem Visualizing high-dimensional data relationships in scatterplots of points.
method Construct 3D filament plots using linear isometries and Frenet-Serret systems.
result 3D filament plots preserve Euclidean distances and avoid visual clutter.
Mean curvature flow extended with free boundary condition.
problem Extending mean curvature flow with a free boundary condition.
method Neumann free boundary condition on a mean convex, smooth support surface in 3D Euclidean space.
result Mean curvature and perimeter stay uniformly bounded for extension.
First explicit isometric immersion of a flat Klein bottle in 3D space.
problem Finding an isometric embedding of a Klein bottle in 3D.
method Piecewise-linear map from a Klein bottle to Euclidean 3-space.
result Explicit numerical data for a flat Klein bottle isometrically immersed in 3D.
Study on tubes with specific Gauss map properties in 3D space.
problem Characterizing surfaces with a specific Gauss map property in 3D space.
method Analyzing tubes in Euclidean 3-space with Gauss map n satisfying ΔIn = Λn.
result Circular cylinders are the only surfaces of coordinate finite I-type Gauss map.
The paper classifies 3D self-expanders with specific properties.
problem Classifying self-expanders with constant curvature components.
method Complete classification of 3D self-expanders with specific curvature conditions.
result Completely classified 3D self-expanders with constant curvature components.
Researchers found spiraling conformal geodesics in 3D space.
problem Existence of spiraling conformal geodesics in Euclidean signature.
method Constructed an example in 3D Euclidean signature, answering a question posed by Friedrich and Tod.
result Found an example of spiraling conformal geodesics in 3D space, not real analytic.
Study Blaschke's asymptotic lines on surfaces in 3D space.
problem Characterize Blaschke's asymptotic lines on surfaces in 3D.
method Analyze binary differential equations near cusp and umbilic points.
result Describe Blaschke's asymptotic lines near Euclidean parabolic set.
A neural flow method minimizes Willmore energy for 2-surfaces in 3D space.
problem Minimizing Willmore energy for closed oriented 2-surfaces in 3D space.
method Introducing neural Willmore flow to model and minimize the Willmore energy using neural architectures.
result The neural flow reproduces expected round sphere and Clifford torus for genus 0 and 1 surfaces, respectively, and finds minimal Willmore surfaces for genus 2.
VecMol generates 3D molecules as continuous vector fields, overcoming modality and geometry constraints.
problem Challenges in generating 3D molecules, especially in drug discovery and materials science.
method VecMol reimagines molecular representation by modeling 3D molecules as continuous vector fields over Euclidean space, parameterized by a neural field and generated using a latent diffusion model.
result Vector-field-based representations show promise for 3D molecular generation, validated on benchmarks.
Proposes a new layer for efficient 3D shape discrimination.
problem Irregular structure and redundancy in 3D point clouds hinder efficient inter-class discrimination.
method Integrates Blended Convolution and Synthesis layer that projects and synthesizes 3D point clouds, followed by 3D convolution in the unit ball.
result End-to-end architecture achieves compelling results on 3D shape recognition and retrieval.
The paper examines asymptotic lines of plane fields in 3D space.
problem Qualitative properties of asymptotic lines in plane fields.
method Analysis of null directions and Gaussian curvature.
result Asymptotic lines coincide with classical ones in completely integrable fields.
We construct a number of sculptures, each based on a geometric design native to the three-dimensional sphere. Using stereographic projection we transfer the design from the three-sphere to ordinary Euclidean space. All of the sculptures are then fabricated by the 3D printing service Shapeways.
Defines and analyzes generalized normal ruled surfaces of curves in 3D space.
problem Understanding the geometry of generalized normal ruled surfaces.
method Calculates Gaussian and mean curvatures to determine surface properties and examines curve conditions.
result Determines when surfaces are flat or minimal and identifies specific curve types.
The sigma invariant is studied for torus, K3 surface, and 3d manifolds.
problem Investigating the sigma invariant for specific manifolds.
method Analyzing isometric embeddings and scalar curvature functionals.
result Sigma invariant is zero for torus, K3 surface, and certain 3d manifolds.
Study rectifying curves in 3D multiplicative Euclidean space.
problem Investigate rectifying curves in a non-Newtonian geometry setting.
method Apply multiplicative differential-geometric concepts to rectifying curves.
result Classify multiplicative rectifying curves using spherical curves.
The investigation of 3D euclidean symmetry sets (SS) and medial axis is an important area, due in particular to their various important applications. The pre-symmetry set of a surface M in 3-space (resp. smooth closed curve in 2D) is the set of pairs of points which contribute to the symmetry set, that is, the closure …
Sharp comparison theorems for 3D manifolds with scalar curvature bound.
problem Understanding the geometry and topology of 3D manifolds with scalar curvature constraints.
method Sharp comparison results for Green's function and spectrum, derived from scalar curvature bounds.
result Sharp upper and lower bounds for the Green's function and spectrum of 3D manifolds.
The paper proves rigidity and stability properties of self-shrinking surfaces in 3D space.
problem Rigidity and stability of self-shrinking surfaces in R3. method Analyzing the mean curvature flow and L-index of self-shrinkers. result No stable two-dimensional self-shrinker in R3 exists without properness. Study symmetry of cross-cap surfaces with folding maps.
problem Reflectional symmetry of cross-cap surfaces.
method Characterization of singularities in folding maps.
result Characterized generic singularities on cross-cap.
A curve of minimum length to enclose a unit sphere in 3D is at least 4π.
problem Finding the shortest closed curve that encloses a unit sphere within its convex hull.
method Analyzing the geometric properties and using convex hull concepts.
result The minimum length of such a curve is 4π in 3D, with equality in a specific case.
3D models vulnerable to adversarial attacks, new method improves success rate and naturalness.
problem Vulnerability of 3D deep learning models to adversarial examples in the physical world.
method ε-isometric (ε-ISO) attack considering geometric properties and invariance to physical transformations. result Significantly improved attack success rate and naturalness of 3D adversarial examples.
Paper defines continuous rotation representations for neural networks.
problem Discontinuous representations of rotations in neural networks.
method Definition of continuous representations, relating to topological concepts.
result Continuous representations for 3D rotations in 5D and 6D are more suitable for neural networks.
Characterizes concircular helices and surfaces in 3D space.
problem Understanding concircular helices and surfaces in Euclidean 3-space.
method Characterization through differential equations and ruled surfaces.
result Characterizes concircular helices and surfaces in 3D space.
Study rotational surfaces with prescribed Gauss curvature in 3D space.
problem Classify and analyze rotational surfaces with prescribed Gauss curvature.
method Phase plane analysis and mild assumptions on the prescribed function.
result Existence of singular radial solutions intersecting orthogonally the axis of rotation.
New method for special generic maps into 3D space.
problem Understanding special generic maps into 3D space.
method Constructing pseudo quotient maps onto 2D polyhedra.
result Explicit construction of special generic maps into 3D space.
The Green function on spheres in 3D implies the surface is a round sphere.
problem Verifying a conjecture about the Green function on spheres.
method Analyzing the Green function form and its properties on a sphere.
result Closed C2 embedded surfaces with the specified Green function are necessarily round spheres. Geodesics in 3D space with 1-2 analytic obstacles, proving geodesic independence.
problem Understanding geodesics in 3D space with obstacles.
method Analyzing algebraic varieties and strata, proving geodesic independence.
result Proving geodesic independence in R3 and generalizing to two intersecting obstacles.