Results 71 to 80 of about 74,207 (261)
Interpretable PROTAC Degradation Prediction With Structure‐Informed Deep Ternary Attention Framework
Advanced Science, EarlyView.PROTAC‐STAN, a structure‐informed deep learning framework is presented for interpretable PROTAC degradation prediction. By modeling molecular hierarchies and protein structures, and simulating ternary interactions via a novel attention network, PROTAC‐STAN achieves significant performance gains over baselines.
Zhenglu Chen +11 more
wiley +1 more source
Inverse problems for Einstein manifolds
Inverse Problems & Imaging, 2009 Corrected ...
Colin Guillarmou, Antônio Sá Barreto
openaire +4 more sources
On normal homogeneous Einstein manifolds [PDF]
Annales scientifiques de l'École normale supérieure, 1985 The main result of the paper is the classification of compact connected simple Lie groups G with closed connected subgroups H such that the Riemannian metric on G/H induced by the Killing form of G is Einstein, while G acts almost effectively on G/H, G/H is simply connected and not strongly isotropy irreducible. For many classes of homogeneous Einstein
Wolfgang Ziller, McKenzie Y. Wang
openaire +3 more sources
High‐Throughput Strategies for Streamlining Lipid Nanoparticle Development Pipeline
Advanced Science, EarlyView.This review highlights emerging state‐of‐the‐art high‐throughput strategies for optimising lipid nanoparticle formulation. By integrating combinatorial design, characterization, in vitro/in vivo screening, automation, and machine learning into a closed‐loop framework, it provides a roadmap to streamline discovery and accelerate the translation of ...
Lois Lam +3 more
wiley +1 more source
On quasirecurrent manifolds [PDF]
Mathematica BohemicaWe introduce a type of Riemannian manifolds (namely, quasirecurrent manifold) and study its several geometric properties. Among others, we prove that the scalar curvature of such a manifold is constant, and that the manifold is Einstein under certain ...
Jaeman Kim
doaj +1 more source
On Compact Trans-Sasakian Manifolds
Advances in Mathematical Physics, 2022 We study 3-dimensional compact and simply connected trans-Sasakian manifolds and find necessary and sufficient conditions under which these manifolds are homothetic to Sasakian manifolds.
Ibrahim Al-Dayel, Sharief Deshmukh
doaj +1 more source
Ricci flow on K\"ahler-Einstein manifolds
, 2003 In our previous paper math.DG/0010008, we develop some new techniques in attacking the convergence problems for the K\"ahler Ricci flow. The one of main ideas is to find a set of new functionals on curvature tensors such that the Ricci flow is the ...
Chen, X. X., Tian, G.
core +1 more source
Transport Resistance Dominates the Fill Factor Losses in Record Organic Solar Cells
Advanced Energy Materials, EarlyView.Organic photovoltaics are a promising solar cell technology, but even the record devices with 20% efficiency have significant fill factor losses due to low active layer conductivities. In this Perspective, the authors describe the origin of these losses, discuss experimental methods for their quantification, and explain how to minimize them to optimize
Chen Wang +6 more
wiley +1 more source
Communications of the Korean Mathematical Society, 2008 The object of the present paper is to study some properties of a quasi Einstein manifold. A non-trivial concrete example of a quasi Einstein manifold is also given.
Biman Kanti De, Uday Chand De
openaire +3 more sources
Advanced Intelligent Discovery, EarlyView.Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source