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I was looking at my samples in um scale with SEM and came over this romantic moment. Felt so emotional and almost fallen in love.

“You’re the average of the five people you spend the most time with”. Be selective.

arabnews.com/node/1966361/a…

For the 2nd year in a row, 3 #Saudi undergraduates have been awarded the prestigious Rhodes scholarship. They represent the Nation's best and brightest, and the 2 STEM winners are alumni of #KAUST's world-class internship programs! Congrats! @Rhodes_trust

Very happy and proud to be selected as a Rhodes Scholar for this year.

Here is our recent paper about predicting crystal point groups using machine learning. This is our first step toward predicting crystal structure of new materials with a very small set of features. nature.com/articles/s4159…

Happy #WorldQuantumDay! From Berkeley Lab

Here is our recent paper about improving interfaces of superconducting quantum circuits through surface modification, resulting in record quality factors. journals.aps.org/prxquantum/abs…

Those with a lack of purpose fill the void with pleasure.

Materials informatics with ML is at the intersection between basic physics and potential computational tools for understanding nature. Here is our recent work that investigates resampling and classification techniques for large and imbalanced data using ML pubs.acs.org/doi/full/10.10…

Love her as certain absolute things to be loved, in secret, between the heart and the soul.

What a great welcome day at Rhodes Trust!

Just another ride at University of Oxford.

Verify even the most trustworthy sources and question your way of doing so.

Dielectric loss at interfaces of quantum circuits limit the coherence of qubits and related quantum devices. Here we show that SAM materials can passivate superconducting circuits and prevent further growth of oxide layers that are sources of TLS loss. pubs.acs.org/doi/full/10.10…

تغطية اللقاء التعريفي لمنحة رودس للدراسات العليا لجامعة أوكسفورد، حيث تم تعريف طلاب وطالبات الجامعة عن كل ما يخص المنحة وسبل التقديم عليها، كما تم الرد على استفسارات الطلاب والطالبات المتعلقة بالمنحة.

Materials discovery and synthesis are hard and lie at the intersection between fundamental physics and computational modeling. Here in our work we show prediction of crystal structures for variety of materials classes using a highly accurate ML approach pubs.acs.org/doi/10.1021/ac…

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