Artwork

Contenuto fornito da TechSprouts by Ankur Capital. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da TechSprouts by Ankur Capital o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.
Player FM - App Podcast
Vai offline con l'app Player FM !

Computation and AI: Next-Gen Materials Discovery

41:34
 
Condividi
 

Manage episode 375096697 series 3356187
Contenuto fornito da TechSprouts by Ankur Capital. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da TechSprouts by Ankur Capital o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

Discovering new materials with innovative properties is key for a sustainable future. In this episode, we discuss the integration of computation-based approaches and machine learning/AI in material science research with Dr. Abhishek Singh, a professor at the Indian Institute of Science and the Founder/CEO of SciDentAI.

Subscribe⁠ to ⁠TechSprouts⁠, an initiative by⁠ Ankur Capital⁠ to decipher deep science innovations and build the ecosystem in India to bring disruptive technologies from lab to market.

Show notes:

(2:00) Overview of the trajectory of research in material science

(6:00) Introduction of computational techniques and machine learning in material science

(10:00) Impact of computation and machine learning on material science research

(14:00) Application of computational techniques in industry, particularly materials development

(17:00) Role of computational design in climate change mitigation efforts

(20:00) Examples of new materials discovered using computational design

(23:00) Discussion on the role of startups in the materials discovery space

(26:00) Explanation of hybrid scientific AI models and their applications

(29:00) SciDent AI

  continue reading

15 episodi

Artwork
iconCondividi
 
Manage episode 375096697 series 3356187
Contenuto fornito da TechSprouts by Ankur Capital. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da TechSprouts by Ankur Capital o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

Discovering new materials with innovative properties is key for a sustainable future. In this episode, we discuss the integration of computation-based approaches and machine learning/AI in material science research with Dr. Abhishek Singh, a professor at the Indian Institute of Science and the Founder/CEO of SciDentAI.

Subscribe⁠ to ⁠TechSprouts⁠, an initiative by⁠ Ankur Capital⁠ to decipher deep science innovations and build the ecosystem in India to bring disruptive technologies from lab to market.

Show notes:

(2:00) Overview of the trajectory of research in material science

(6:00) Introduction of computational techniques and machine learning in material science

(10:00) Impact of computation and machine learning on material science research

(14:00) Application of computational techniques in industry, particularly materials development

(17:00) Role of computational design in climate change mitigation efforts

(20:00) Examples of new materials discovered using computational design

(23:00) Discussion on the role of startups in the materials discovery space

(26:00) Explanation of hybrid scientific AI models and their applications

(29:00) SciDent AI

  continue reading

15 episodi

Tutti gli episodi

×
 
Loading …

Benvenuto su Player FM!

Player FM ricerca sul web podcast di alta qualità che tu possa goderti adesso. È la migliore app di podcast e funziona su Android, iPhone e web. Registrati per sincronizzare le iscrizioni su tutti i tuoi dispositivi.

 

Guida rapida