Results 131 to 140 of about 1,211,632 (235)

Evolving CRBN ligands enhance the drug-like properties of protein degraders. [PDF]

J Enzyme Inhib Med Chem
Ji XQ, Wang L, Dai XJ.
europepmc   +1 more source

Thermodynamic Limits to Molecular Doping in Conjugated Polymers: A Perspective on Phase Behavior and Miscibility

Advanced Materials, EarlyView.
Molecular doping of conjugated polymers is fundamentally constrained by thermodynamic phase behavior. This Perspective reframes doping efficiency and stability in terms of miscibility limits, binodals, and solvus boundaries, highlighting the role of effective interaction parameters and charge transfer.
Somayeh Kashani, Justin Neu, Sung‐Joo Kwon, Runqio Song, Zixuan Chen, Tajah Trapier, Paschalis Gkoupidenis, David Ginger, Wei You, Jasper J. Michels, Harald Ade   +10 more
wiley   +1 more source

AI-Driven Multi-Omics Integration of Synthetic Colon Adenocarcinoma for Cluster-Guided PROTAC Candidate Design Targeting KRASG12D. [PDF]

Int J Mol Sci
Elamin KM, Elbashir SMI, Adam I.
europepmc   +1 more source

When Poor Exciton Dissociation Limits Photocurrents in Organic Solar Cells: Why Low Offset Non‐Fullerene Acceptor Blends Can't Be Efficient

Advanced Materials, EarlyView.
The energetic offset between the donor and the acceptor components in organic photoactive layers is central to the tradeoff between photovoltage and photocurrent losses. This Perspective covers the most important issues surrounding this topic in non‐fullerene acceptor blends, from the difficulty of accurately determining state energies and driving ...
Dieter Neher, Manasi Pranav
wiley   +1 more source

Artificial intelligence empowers targeted protein degradation: Core technological innovations, multi-scenario applications, and translational prospects. [PDF]

Smart Mol
Qin S, Peng R, Zhang G, Yan S, Xiao J, Liu Z, Tan Z, Xie Q, Li S, Luo W, Xiao X.   +10 more
europepmc   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Bridging efficiency and stability in organic solar cells: architectural design, degradation insights, and emerging mitigation strategies. [PDF]

RSC Adv
Irfan M, Akash A, Sultan N, Janjua MRSA.
europepmc   +1 more source

Constructing balanced designs from triangular designs

balanced designs incomplete block ...
John, Peter W. M.
core  

Measuring the Hall Effect in Hysteretic Materials

Advanced Materials, EarlyView.
The authors highlight common pitfalls in measuring the Hall effect: in hysteretic magnets, improper data processing can create signals that look exotic but are not real. This Perspective explains the origin of these artifacts and presents practical measurement strategies that help researchers identify reliable Hall responses in complex magnetic ...
Jaime M. Moya, Anthony Voyemant, Sudipta Chatterjee, Scott B. Lee, Grigorii Skorupskii, Connor J. Pollak, Leslie M. Schoop   +6 more
wiley   +1 more source

Engineering Function-Reversal Sacrificial Sites for Selective Volatile Aromatic Hydrocarbons Detection in Complex Environments. [PDF]

Adv Mater
Wang Z, Jia X, Mao R, Jiang Y, Wang Y, Shang L, Shi J, Yuan H, Xue Z, Zhang D, Xu J.   +10 more
europepmc   +1 more source