A Scalable Framework for Learning the Geometry-Dependent Solution Operators of Partial Differential Equations

Mathematics, Information Science, Computer Science, Artificial Intelligence,
partial differential equations   geometric mapping   neural operator   artificial intelligence   computational efficiency  

Introduction In recent years, solving partial differential equations (PDEs) using numerical methods has played a significant role in various fields such as engineering and medicine. These methods have shown remarkable effectiveness in applications like topology and design optimization as well as clinical prognostication. However, the high computati...

Comprehensive Prediction and Analysis of Human Protein Essentiality Based on a Pretrained Large Language Model

Information Science, Artificial Intelligence, Medicine, Medical Laboratory Science, Life Sciences, Bioengineering,
pretrained model   protein essentiality   deep learning   biomedicine   biomarkers   cancer prognosis   microproteins  

Comprehensive Prediction and Analysis of Human Protein Essentiality Based on a Pretrained Large Language Model Academic Background Human Essential Proteins (HEPs) are crucial for individual survival and development. However, experimental methods for identifying HEPs are often costly, time-consuming, and labor-intensive. Additionally, existing compu...

A Deep Learning Approach for Rational Ligand Generation with Toxicity Control

Chemistry, Medicinal Chemistry, Information Science, Artificial Intelligence, Life Sciences, Biochemistry,
deep learning   ligand generation   toxicity control   drug design   computational model   block-based generation   molecular optimization  

Latest Research on Deep Learning Applied to Target Protein Ligand Generation: Proposal and Validation of the DeepBlock Framework Background and Research Problem In the drug discovery process, finding ligand molecules that bind to specific proteins has always been a core objective. However, current virtual screening methods are often limited by the ...

Spin-Symmetry-Enforced Solution of the Many-Body Schrödinger Equation with a Deep Neural Network

Physics, Quantum Physics, Chemistry, Computational Chemistry, Information Science, Artificial Intelligence,
deep neural networks   Schrödinger equation   spin symmetry   quantum states   photochemistry   multi-reference systems   electron correlation  

Research on Deep Learning Framework for Spin-Symmetry-Enforced Solutions to the Many-Body Schrödinger Equation: A Groundbreaking Achievement In the fields of quantum physics and quantum chemistry, the description of many-body electron systems has always been an important yet highly challenging topic. Accurately characterizing strong electron-electr...

Predicting Crystals Formation from Amorphous Precursors Using Deep Learning Potentials

Materials Science, Inorganic Non-Metallic Materials, Information Science, Computer Science, Artificial Intelligence,
deep learning   amorphous precursors   crystal formation   non-crystalline phases   polymorphs   materials science   energy landscape  

Predicting the Emergence of Crystals from Amorphous Precursors: Deep Learning Empowers Breakthroughs in Materials Science Background Introduction The process of crystallization from amorphous materials holds significant importance in both natural and laboratory settings. This phenomenon is widespread in various processes ranging from geological to ...

Biosensors and Biomarkers for the Detection of Motion Sickness

Chemistry, Nanoscience, Information Science, Artificial Intelligence, Medicine, Medical Laboratory Science, Neurology, Sports Medicine, Life Sciences, Biochemistry, Bioengineering, Biophysics,
motion sickness   biomarkers   biosensors   non-invasive detection   real-time monitoring  

Exploring Biomarkers and Biosensors for Motion Sickness: Innovative Approaches to Diagnostic Challenges Motion sickness (MS) is a common syndrome experienced by humans, triggered by unnatural motions such as those encountered during transportation or virtual reality (VR). It manifests through symptoms like headaches, nausea, vomiting, cold sweats, ...