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从一个问题开始。
NEXSCIENCE 的全新起点。我们正在为研究、洞察与智能体验搭建一个开放的展示空间。
论文 · research_paper
Various optimization methods using the Ising model have recently emerged as meta-heuristics that can universally adapt to combinatorial optimization problems and are used as a core of the system to solve those problems. The optimization methods using the Ising model are categorized into annealing

期刊中心 · Springer Nature
Nature Medicine
论文 · arXiv
AI-Driven Phase Identification from X-ray Hyperspectral Imaging of cycled Na-ion Cathode Materials
论文 · arXiv
Stochastic search with space-dependent diffusivity
论文 · arXiv
Chiral Polar Eu2(SeO3)2(SO4)(H2O)2: A Pathway Toward Narrow Optical Linewidths and Microsecond Lifetimes for Quantum Memory Candidates
论文 · arXiv
AI-driven Inverse Design of Complex Oxide Thin Films for Semiconductor Devices

期刊中心 · Springer Nature
Nature
论文 · arXiv
Confinement-Induced Symmetry Breaking of Active Surfaces

期刊中心 · Springer Nature
Nature Sustainability
论文 · arXiv
High-Energy Interlayer Exciton Ensembles in MoSe/WSe Heterostructures by Laguerre-Gaussian Excitation
论文 · arXiv
Plasmon assisted superconductivity in LiTiO
论文 · research_paper
at solving complex combinatorial optimization problems [45-49, 55-57]. Remarkably, these gates can be realized in silicon employing the same electronic components as ordinary electronic circuits. We formulate our problems as Integer Linear Programming (ILP) equations, which can be directly mapped to a Self-Organizing circuit. Our MEMCPU™ Platform [58] automates all of the aforementioned processes

期刊中心 · Springer Nature
Nature Energy
论文 · arXiv
Variational Method for Interacting Surfaces with Higher-Form Global Symmetries
论文 · arXiv
Autonomous Probe Microscopy with Robust Bag-of-Features Multi-Objective Bayesian Optimization: Pareto-Front Mapping of Nanoscale Structure-Property Trade-Offs
论文 · arXiv
Symmetry-aware Conditional Generation of Crystal Structures Using Diffusion Models
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