theory of analysis of labeled graphsdata miningsuperconductivitymaterials sciencesolid state physicsAdequate formalization of problems is the most important task that has to be solved in order to apply the modern methods of so-called "machine learning" to real problems. The effective application of ...
Topological materials are characterized by non-trivial bulk and surface electronic states, which can be detected and distinguished by angle-resolved photoemission spectroscopy (ARPES). Synchrotron-based vacuum ultraviolet and soft-X-ray light make it possible to distinguish surface and bulk states through...
Comprehensive search for topological materials using symmetry indicators An algorithm based on symmetry indicators is used to search a crystallographic database and finds thousands of candidate topological materials, which could be exploited in next-generation electronic devices. Feng Tang , Hoi Chun Po...
Topological data analysis is a useful data analysis method that combines the mathematical theory of topology with computational methods to study the valuable relationships hidden in data. Persistent homology is an effective tool in computational topology, used to measure the topological characteristics of ...
What are some potential applications of mesoporous materials? What is the synthetic principle in constructing new spaces? What are some examples of topological structure control in mesoporous material synthesis? What is the relationship between Alexandroff topologies and quasi-semi-order relations?
“noise” or “unimportant”, while features with long intervals are deemed “significant”. Needless to say, the precise meaning of these notions will change from application to application. The concept of persistent homology has already been used in a number of materials science contexts, such ...
Learning motor skills with non-rigid materials by reinforcement learning Our learning framework focuses on the topological relationship between the configuration of the robot and the non-rigid material based on the consideration ... D Shinohara,T Matsubara,M Kidode - IEEE International Conference on ...
3. Materials and Methods This section outlines our research methodology framework. Firstly, it describes the structure of clickstream data, including product categories, user-product interactions, time, and online reviews. Secondly, we build a co-purchase network based on the product co- purchase ...
1、拓扑材料的长期潜力 Topological Materials' Long-Term Potential: 2、量子材料的短期优势 Quantum Materials' Short-Term Edge: 3、交叉融合的机遇 Synergistic Opportunities: 评语Comments: 张保华 Bao-hua ZHANG 引言 向Deepseek提出问题(图1):拓扑材料是否较所谓的量子材料具有更广阔的前景?请见证Deepseek的综述...
Accelerated materials development with machine learning (ML) assisted screening and high throughput experimentation for new photovoltaic materials holds the key to addressing our grand energy challenges. Data-driven ML is envisaged as a decisive enabler for new perovskite materials discovery. However, its...