Results 81 to 90 of about 431,137 (288)

ER22x: JusticeX: Spring 2013 Course Report [PDF]

, 2014
ER22x was offered as a HarvardX course in Spring 2013 on edX, a platform for massive open online courses (MOOCs). It was taught by Professor Michael Sandel.
Chuang, Isaac, Ho, Andrew Dean, Mullaney, Tommy Philip, Nesterko, Sergiy O, Reich, Blair Justin Fire, Seaton, Daniel Thomas, Waldo, James H.   +6 more
core   +1 more source

Solution‐Shearing of Highly Smooth Ion‐Gel Thin Films: Facilitating the Deposition of Organic Semiconductors for Ion‐Gated Organic Field Effect Transistors

Advanced Electronic Materials, Volume 11, Issue 6, May 2025.
A straightforward method is introduced to produce ion‐gel films with very low surface roughness by employing a solution‐shearing coating process. These ion‐gel films permit the growth of crystalline thin films of various small molecule organic semiconductor molecules directly on top of the ion‐gel layer, thereby enabling “inverted” small molecule ...
Jonathan Perez Andrade, Angelika Wrzesińska‐Lashkova, Anupam Prasoon, Felix Talnack, Katherina Haase, Bernd Büchner, Xinliang Feng, Yana Vaynzof, Mike Hambsch, Yulia Krupskaya, Stefan C. B. Mannsfeld   +10 more
wiley   +1 more source

Life‐Cycle Assessment of Printed Electronic Components ‐ Case Study for Organic Electrochemical Transistors

Advanced Electronic Materials, EarlyView.
This tutorial introduces a practical framework for implementing early‐stage Life‐Cycle Assessment (LCA) in flexible and printed electronics. Using organic electrochemical transistors (OECTs) as a case study, the modular Process‐of‐Record and open‐access inventory provides a rich resource adaptable to a plethora of technologies in printed electronics ...
Laura Teuerle, Tommy Meier, Klara Hänisch, Finn Jaekel, Yeohoon Yoon, Andreas Wendel, Hans Kleemann   +6 more
wiley   +1 more source

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

Advanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho, Dae‐won Kim, Yujin Kim, Jung‐Heum Na, Yuwon Jeong, Dong‐Yeop Lee, Shinhyun Choi   +6 more
wiley   +1 more source

Farmers’ Protests in Germany: Media Coverage and Types of Bias

Agribusiness, EarlyView.
ABSTRACT The German farmers’ protests of 2024 sparked widespread media coverage and public debate. Yet, media coverage was not always positive, reflecting the media's attention‐seeking and selective focus. Occurrences of farmers blocking media outlets reflected distrust in how their concerns were portrayed.
Felix Schlichte, Doris Läpple
wiley   +1 more source

منصات الدورات الالكترونية المفتوحة Open massive online course: دراسة تقييمة مقارنة [PDF]

المجلة الدولية لعلوم المكتبات والمعلومات
هدفت الدراسة إلى تحليل منصات الدروات الالكترونية المفتوحة Open massive online course (MOOC) الأجنبية منها والعربية بعدّها إحدى وسائل التعلم الإلكتروني التفاعلي، التي تقوم بدور مهم في التعلم الذاتي المنظم، وتعمل على تعزيز دافعية المتعلم؛ لتنمية مهاراته ...
لمياء ضياء الدين محمد حامد
doaj   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

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

Teaching programming to beginners in a massive open online course [PDF]

, 2014
The University of Reading’s first Massive Open Online Course (MOOC) “Begin Programming: Build your first mobile game” (#FLMobiGame) was offered in Autumn 2013 on the FutureLearn platform.
Liyanagunawardena, Tharindu Rekha, Lundqvist, Karsten O, Micallef, Luke, Williams, Shirley Ann   +3 more
core  

Heroesx: The Ancient Greek Hero: Spring 2013 Course Report [PDF]

, 2014
CB22x: The Ancient Greek Hero, was offered as a HarvardX course in Spring 2013 on edX, a platform for massive open online courses (MOOCs). It was taught by Professor Greg Nagy.
Chuang, Isaac, Emanuel, Jeffrey P., Ho, Andrew Dean, Mullaney, Tommy Philip, Nesterko, Sergiy O, Reich, Blair Justin Fire, Seaton, Daniel Thomas, Waldo, James H.   +7 more
core   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source